Evidence mapPaperPMID 42588045Full record

ReviewNutrients2026

Beyond Nutrient Profiling: Strengths, Limitations, and Emerging Challenges for Nutri-Score and Related Front-of-Pack Labeling Systems.

Jean Demarquoy

Abstract readReview
In one paragraph

Review in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jean DemarquoyUniversité Bourgogne Europe, Institut Agro, INRAE, UMR PAM, 21000 Dijon, France.ORCID 0000-0002-0787-219X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Front-of-pack nutrition labeling systems have become important tools for improving consumer understanding of nutritional information and supporting healthier food choices. Among these systems, Nutri-Score has emerged as one of the most widely implemented nutrient profiling models in Europe. Based on the Food Standards Agency Nutrient Profiling System, Nutri-Score summarizes selected nutritional characteristics of foods through a simplified five-level color-coded scale. A growing body of evidence indicates that Nutri-Score improves consumers' ability to compare products, supports healthier purchasing decisions, and may encourage product reformulation. Epidemiological studies have reported associations between dietary patterns characterized by less favorable nutrient profile scores and increased risks of chronic diseases and mortality. Despite these strengths, important scientific and conceptual questions remain. This review examines the principles of nutrient profiling and assesses how effectively food quality can be represented by a limited set of nutritional criteria. Particular attention is given to nutrient reductionism, the use of the standardized 100 g reference, food matrix effects, the relationship between nutrient profiling and food processing, the influence of hedonic drivers and health claims on consumer behavior, and the growing importance of environmental contaminants as dimensions of food quality not captured by current algorithms. Future food evaluation systems may benefit from integrating complementary information related to food structure, processing characteristics, dietary context, and emerging insights from systems nutrition.

Indexed as

Diet, HealthyFood LabelingNutritive ValueConsumer BehaviorEuropeFood PreferencesHumansNutrition Policydietary patternsfood matrixfood processingfood qualityfront-of-pack labelingnutrient profilingnutri-scorenutrition policy

Identifiers

PMID42588045
PMCPMC13468466

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.